hrayrhar / limit-label-memorizationLinks
Improving generalization by controlling label-noise information in neural network weights.
☆40Updated 4 years ago
Alternatives and similar repositories for limit-label-memorization
Users that are interested in limit-label-memorization are comparing it to the libraries listed below
Sorting:
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 2 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- ☆42Updated 4 years ago
- ☆23Updated 4 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆61Updated 5 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 4 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆21Updated 6 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- ☆46Updated 2 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated last year
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆41Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated 2 years ago
- Code for SelfAugment☆27Updated 4 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- NeurIPS'18: Masking: A New Perspective of Noisy Supervision☆54Updated 6 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 3 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆69Updated 2 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- MoPro: Webly Supervised Learning☆88Updated 3 months ago
- ☆57Updated 4 years ago